Reducing the Bullwhip Effect in a Supply Chain - A Model Predictive Concrol Approach
碩士 === 國立雲林科技大學 === 工業工程與管理研究所碩士班 === 93 === The Bullwhip effect is a perplex problem in supply chain management. This effect denoted that the demand variance will amplify due to ordering policy in the supply chain. It will cause the inventory increase in up-stream element and wasted the production...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/39762931235550474173 |
| Summary: | 碩士 === 國立雲林科技大學 === 工業工程與管理研究所碩士班 === 93 === The Bullwhip effect is a perplex problem in supply chain management. This
effect denoted that the demand variance will amplify due to ordering policy in the
supply chain. It will cause the inventory increase in up-stream element and wasted the
production resource. There are many researches denoted that the information share is
the best solution of bullwhip effect. But they are also presented that information share
can not eliminate the bullwhip effect. So, developing a technology or tool to control
the order variance is an important target. In this research, we use Model Predictive
Control (MPC) to develop an order controller is based on a Mainboard production and
an information share supply chain. This controller is used to control the order variance
and reduced the bullwhip effect. The simulation result shows the order controller can
reduce the bullwhip effect 46.36%.
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